Software Engineer, Machine Learning at Whatnot (W20)
Whatnot is the largest livestream shopping platform in the U.S.
Remote - North America / Remote (US; CA)
Full-time
6+ years
About Whatnot

Whatnot is a community marketplace where you can safely buy, sell, go live and build a community with other like-minded people.

We got our start offering a buying and selling experience to collectors of Funko Pops and Pokemon cards. We became the leading marketplace for those communities and have found success launching into categories like sports cards, NFTs, and vintage fashion.

In July of 2022, we raised $260 million in a Series D funding round bringing our valuation to $3.7 billion, a 2.5x increase since our $1.5 billion valuation in September of 2021.

Our mission is to enable anyone to turn their passion into a business and bring people together through commerce. We enable anyone to connect, transact and build a business in one place -- Whatnot is bringing the in-person retail experience online.

About the role

🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, whether working remotely or from one of our offices. We are building a team that has experience from top tech, retail and payments platforms in the world.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

📈 Opportunity Size

Retail disruption is one of the largest opportunities in the startup space today. Livestream shopping is taking off around the world – a $300B GMV market in China that’s grown 100% YoY. Whatnot is bringing it to the world through a community-first approach, starting in the U.S. where retail is a $5T market opportunity!

💻 Role

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform team. You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals. The ideal candidate will support initiatives end to end with software, data & machine learning engineering.

What you'll do:

  • Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts.
  • Contribute scalable solutions across various serving stacks at the machine learning service and application layers.
  • Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns.
  • Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience.
  • Define and advance our technical approach to scalable machine learning.

👋 You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next Software Engineer, Machine Learning you should have 5+ years of experience, plus:

  • Proven history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical field.
  • Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
  • Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker.
  • Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
  • Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis
  • Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
  • Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.
  • Professionalism around collaborating in a remote working environment and well tested, reproducible work.
  • Exceptional documentation and communication skills.

💰Compensation

For US-based applicants: $153,000 - $235,000/year + benefits + stock options

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

🎁 Benefits

  • Competitive base salary and stock options
  • Unlimited Vacation Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability
    • Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
    • Dental and Vision sponsored 100% by Whatnot for employees and dependents
  • Work From Home Support
    • Laptop provided by Whatnot and home office setup allowance
    • $450 work-from-anywhere quarterly allowance for cell phone and internet
  • Care benefits
    • $1,350 quarterly allowance on food
    • $1,500 quarterly allowance for wellness
    • 16 weeks Paid Parental Leave and gradual return to work
    • $5,000 annual allowance towards Childcare
    • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
  • Professional Development
    • $2,000 annual benefit to invest in your professional development
  • 401k offering for Traditional and Roth accounts provided by Betterment
    • Employer matching contributions of 100% of up to 4% of contributions on base salary

💛 EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Technology

Infrastructure: AWS, Kubernetes, Serverless

Databases: Postgres, DynamoDB, ElasticSearch, Redis

Backend: Python (Flask), Node, Elixir

Front-End React, GraphQL, Swift, Kotlin

Other jobs at Whatnot

fulltimeRemote - North America / Remote (US)Backend$185K - $245K6+ years

fulltimeRemote - North America / Remote (US; CA)Machine learning6+ years

fulltimeRemote (San Francisco, CA, US; Seattle, WA, US; New York, NY, US; Los Angeles, CA, US)Full stack$185K - $245K6+ years

fulltimeRemote (San Francisco, CA, US; Seattle, WA, US; New York, NY, US; Los Angeles, CA, US)Android$185K - $245K6+ years

fulltimeRemote (San Francisco, CA, US; Los Angeles, CA, US; Seattle, WA, US; New York, NY, US)iOS$185K - $245K6+ years

fulltimeLos Angeles, CA, US / San Francisco, CA, US / New York, NY, US / Remote (US; CA)Backend$185K - $245K6+ years

fulltimeDublin, D, IE / Kraków, Lesser Poland Voivodeship, PL / Remote (Dublin, D, IE; Kraków, Lesser Poland Voivodeship, PL)Backend6+ years

fulltimeRemoteFull stack$215K - $285K6+ years

fulltimeRemote (Seattle, WA, US; San Francisco, CA, US; New York, NY, US; Los Angeles, CA, US)Frontend$185K - $245K6+ years

fulltimeSan Francisco, CA, US / New York, NY, US / Los Angeles, CA, US / Seattle, WA, US / Remote (San Francisco, CA, US; New York, NY, US; Los Angeles, CA, US; Seattle, WA, US)Full stack$185K - $245K6+ years

fulltimeDublin, D, IE / Remote (Dublin, D, IE)Full stack6+ years

Hundreds of YC startups are hiring on Work at a Startup.

Sign up to see more ›